Client Data Analyst & Coordinator

Company:MMC Corporate

Description:

Title: Client Data Analyst & Coordinator

About the Role:

We are looking for a highly motivated Client Data Analyst to join our dynamic team. This role is essential in ensuring the accuracy, quality, and insightful analysis of client data. You will collaborate with local offices, carriers, and a central team to collect, validate, and analyze data, while preparing and presenting comprehensive monthly business reviews to clients. If you have a keen eye for detail, a passion for data analytics, and enjoy working in a fast-paced, client-facing environment, this role is for you.

We will count on you to:

• Collect and consolidate data from local offices, carriers, and internal sources, ensuring accuracy and timeliness.
• Conduct thorough quality checks on reports, challenging local teams and carriers to resolve discrepancies.
• Prepare and consolidate monthly reporting packages for client review.
• Analyze data trends, dependencies, and changes to provide actionable business insights.
• Deep-dive into dependencies between processes and data results to identify root causes and areas for improvement.
• Support process improvements, including optimizing cut-off dates, data inputs, and other operational workflows.
• Develop and present monthly business reviews to clients, effectively communicating data findings.
• Transform and standardize data sets using common methodologies and data definitions; drive automation and data quality improvement initiatives.
• Monitor data deliverables to ensure compliance with deadlines and quality standards.
• Collaborate with cross-functional teams and local offices to implement new data requirements for clients.

What you need to have:

• At least 2 years of experience in data analytics or related roles, with strong Excel skills.
• Excellent attention to detail and a strong analytical mindset.
• Proven ability to identify root causes of data issues and implement solutions.
• Experience in deep-diving into process and data dependencies to support continuous improvement.
• Strong client communication skills with experience in client-facing roles.
• Experience coordinating activities across multiple stakeholders.
• Ability to work autonomously and efficiently under pressure and meet tight deadlines.
• Knowledge of data transformation and automation techniques is a plus.
• Experience with PowerBI or similar reporting tools is a plus.

Why join our team:

• Opportunity to work with a diverse and collaborative team.
• Exposure to a variety of data sources and stakeholders.
• Chance to develop your skills in data analytics and client management.
• Supportive environment that encourages innovation and continuous improvement. 

Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.